This is an implementation of single source multiple target domain adaptation for fault diagnosis
☆48Jan 13, 2022Updated 4 years ago
Alternatives and similar repositories for AMDA
Users that are interested in AMDA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆11Dec 18, 2018Updated 7 years ago
- A transfer learning model CoDats applied to fault diagnosis problem☆15May 9, 2021Updated 4 years ago
- This is an implementation of “Domain Adaptation for Fault Diagnosis on CWRU Dataset"☆16Oct 15, 2021Updated 4 years ago
- ☆22Sep 9, 2020Updated 5 years ago
- The code for http://arxiv.org/abs/2110.02498☆19Mar 9, 2023Updated 3 years ago
- This repo provides source code for cross-domain machine fault diagnosis using an unsupervised domain adaptation approach (Feature Represe…☆39Dec 25, 2020Updated 5 years ago
- Conditional Contrastive Domain Generalization For Fault Diagnosis☆54Apr 3, 2023Updated 2 years ago
- This repository is for the transfer learning or domain adaptive with fault diagnosis.☆282Dec 8, 2022Updated 3 years ago
- ☆30Apr 30, 2021Updated 4 years ago
- ☆11Mar 10, 2019Updated 7 years ago
- 利用深度学习自编码器进行故障诊断的程序☆10May 27, 2018Updated 7 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆45Dec 9, 2022Updated 3 years ago
- Condition Based Maintenance Fault Database for Testing of Diagnostic and Prognostics Algorithms☆19Nov 26, 2024Updated last year
- Code for our paper "Domain adaptive transfer learning for fault diagnosis." 2019 Prognostics and System Health Management Conference (PHM…☆23Apr 11, 2022Updated 3 years ago
- imbalanced fault diagnosis☆14Aug 12, 2020Updated 5 years ago
- ☆47Apr 25, 2022Updated 3 years ago
- ☆10Apr 2, 2021Updated 4 years ago
- Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnos…☆40Jan 13, 2022Updated 4 years ago
- Transfer learning☆62Aug 13, 2021Updated 4 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆136Jul 13, 2020Updated 5 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆56Sep 20, 2021Updated 4 years ago
- : Faulty and healthy gear box Data sets need to be analyzed in detail. Here, we created this dataset for those who do research in wind tu…☆64Mar 18, 2018Updated 8 years ago
- Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative …☆527Mar 1, 2022Updated 4 years ago
- ☆13Sep 11, 2022Updated 3 years ago
- ☆26Apr 18, 2024Updated last year
- The open-source code of "CS-SHAP: Extending SHAP to "SHapley Estimated Explanation (SHEP): A Fast post-hoc attribution method for interpr…☆15Jan 22, 2026Updated 2 months ago
- 基于无监督和迁移学习的旋转机械故障诊断☆33Jan 12, 2020Updated 6 years ago
- Code for the paper "A Novel Interpretable Model via Algorithm Unrolling for Intelligent Fault Diagnosis of Machinery"☆13Dec 14, 2024Updated last year
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆195May 6, 2021Updated 4 years ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Jan 26, 2022Updated 4 years ago
- domain adaption with LSGAN for bearing fault diagnosis☆79Sep 4, 2018Updated 7 years ago
- Learning Imbalanced Datasets With Maximum Margin Losss☆12Jun 17, 2023Updated 2 years ago
- Experiments performed to analyse the CNN on the CWRU data set.☆14Aug 15, 2020Updated 5 years ago
- wdcnn model for bearing fault diagnosis☆34Jan 18, 2020Updated 6 years ago
- Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide …☆150Feb 28, 2025Updated last year
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆120Dec 14, 2024Updated last year
- Fault Diagnosis with Machine Learning Methods, the dissertation project of my MSc Data Science degree at King's College London☆11Aug 30, 2019Updated 6 years ago
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆35Apr 17, 2024Updated last year
- 论文《基于机理模型的旋转机械领域自适应故障诊断》验证案例的代码和数据☆10Jan 5, 2021Updated 5 years ago